Artificial Intelligence Engineer

Sr. AI EngineerLocation: Abu Dhabi, UAE Full-timeExp.: 7-8+ Yrs.Key Skills: AI/ML, Azure, Databricks, Airlines Revenue management exp. is requiredDescription:We are seeking an AI Engineer with strong experience in Azure Databricks and Airlines Revenue Management domain. The role involves designing and deploying AI/ML models that optimize pricing, forecasting, demand prediction, and revenue optimization for airline business functions.Key ResponsibilitiesDesign, develop, and deploy machine learning and AI models on Azure Databricks.Work on airline revenue management use cases such as fare optimization, demand forecasting, seat inventory optimization, and dynamic pricing.Build scalable data pipelines using Spark, Databricks, and Azure Data Services.Collaborate with business and data teams to translate revenue management requirements into AI-driven solutions.Develop and maintain end-to-end ML lifecycle including data preprocessing, feature engineering, model training, validation, and deployment.Optimize model performance and ensure scalability in production environments.Integrate ML solutions with airline systems and analytics platforms.Monitor model performance and continuously improve accuracy and business impact.Required Skills & Experience5–10 years of experience in AI/ML or Data Science roles.Strong hands-on experience with Azure Databricks and Spark ecosystem.Solid experience in Python, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch, or similar).Strong understanding of Airlines Revenue Management concepts (pricing, forecasting, yield management, demand optimization).Experience working with large-scale data pipelines and cloud-based data platforms (Azure preferred).Experience in building and deploying production-grade ML models.It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.